Intuit
Senior Assistant General Counsel - Privacy, Data Innovation & Protection
$243K–$368K
Mountain View, California +3 · Senior · Full-time · Posted Oct 5, 2026
- Location
- Mountain View, California
San Diego, California
New York, New York
Atlanta, Georgia - Experience
- 10+ years practicing privacy and data protection law in-house or at a top firm, including at least 5 years in a technology or FinTech company.
- Education
- JD from an accredited law school; an undergraduate or advanced degree in Computer Science, Engineering, or a quantitative field is highly valued.
About the job
Leads Intuit’s legal strategy and team for privacy, data innovation, first-party data analytics and product development, and privacy-enhancing technologies.
What you'll do
- Advise product, engineering, marketing, and data science teams on privacy and data protection.
- Lead legal frameworks for adtech governance, first-party data strategy, data innovation, and privacy-enhancing technologies.
- Manage privacy professionals and represent Intuit before regulators, industry bodies, and data protection authorities.
What they ask for
- Active bar admission and eligibility to practice law where the role is located, including eligibility for any required multi-jurisdictional license.
- JD from an accredited law school.
- Expert working knowledge of CCPA/CPRA, GDPR, GLBA, FTC Act Section 5, FCRA, and applicable state financial and biometric privacy laws.
- Experience advising on adtech privacy, product development privacy, privacy-related agreements, and at least two privacy-enhancing technologies.
Nice to have
- IAPP certification: CIPP/US, CIPM, CIPT, or AIGP.
- FinTech or financial services experience and a technical background or degree in Computer Science, Engineering, or a quantitative field.
Pay
Mountain View: USD 271,500 - 367,500 base salary; New York: USD 243,000- 328,500 base salary; San Diego, CA: USD 264,500- 357,500 base salary
Tools
CCPA/CPRA, GDPR, GLBA, FTC Act Section 5, FCRA, CIPA, PIPEDA, AI/ML
AI focus
Develop self-service, automated pathways that may include AI models to guide privacy and data guardrails; assess privacy and regulatory risks in AI/ML systems.
Model-written summary · the original posting is authoritative